S1.5 GFBio

28 Sep 2018
13:15 - 14:45
Lecture Hall 2

S1.5 GFBio

S1.5 _ The German Federation for Biological Data (GFBio) – from data acquisition to analysis. (Session Chairs: Michael Diepenbroek, Birgitta König-Ries and Anton Güntsch)

The German Federation for Biological Data (GFBio) aims to set up a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research. GFBio follows a holistic approach including technical, organizational, cultural, and policy aspects. The development of the infrastructure is essentially based on the collective experience and expertise of leading researchers from multiple disciplines as well as on a network of complementary and professional data facilities in the biological and environmental sciences communities, including PANGAEA, major German natural history collection data repositories, and selected facilities from the molecular biology research community. GFBio is projected for three
phases setting out the way from development to management of services.

Keywords: data aquisition, data archiving, data discovery, terminologies, data integration, data visualization, data analysis

A flexible Diversity Workbench tool to publish biodiversity data from SQL database networks through platforms like GFBio
Markus Weiss, Tanja Weibulat, Stefan Seifert, Juan Carlos Monje, Marcel Ruff, Dieter Neubacher, Wolfgang Reichert and Dagmar Triebel

Managing and publishing fungal community barcoding data by use of the process-oriented schema MOD-CO and a GFBio data publication pipeline
Janno Harjes, Dagmar Triebel, Tanja Weibulat, Anton Link and Gerhard Rambold

The EDIT Platform for Cybertaxonomy – an integrated software environment for biodiversity research data management
Anton Güntsch, Andreas Müller, Patrick Plitzner, Tilo Henning, Norbert Kilian, David Fichtmüller, Maren Gleisberg, Naouel Karam, Claudia Müller-Birn and Walter G. Berendsohn

The Development Of A Data Recommender System For Improving the Discovery Of Environmental And Biological Scientific Datasets
Anusuriya Devaraju, Uwe Schindler, Michael Diepenbroek, Robert Huber, Jens Klump and Markus Stocker

Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results
Quentin Groom, Sonia Vanderhoeven, Lien Reyserhove, Damiano Oldoni, Tim Adriaens and Peter Desmet

Unfolding existing Data Publication Practice in Research Data Workflows in the Biological and Environmental Sciences – First Results from a Survey
Felicitas Löffler, Tina Astor and Claudia Müller-Birn